20 February 2018 - - King of Prussia, Pennsylvania-based predictive analytics company HVH Precision Analytics, and Rochester, New York-based health data and analytics company Patient iP are partnering to improve clinical trial design, site selection, and patient enrollment, the company said.
The companies will collaborate using HVH's proprietary SCIPHER machine learning platform and Patient iP's proprietary daTAscape asset to better target clinical trial sites and accelerate trial enrollment.
HVH combines data and therapeutic area agnostic analytic and medical capabilities, and Patient iP's platform contains data from more than 4,000 practice sites and 16 m ambulatory electronic medical records.
HVH provides predictive analytics solutions. HVH is shortening the time to diagnosis through the application of a proven and validated methodology to real-world data to find diagnosed patients, prospective therapy candidates, undiagnosed patients and ideal candidates for clinical trials so that innovative therapies find the patients who desperately need them.
The patented Patient iP data analytics platform provides unique value for the clinical research industry.
Using a cloud-based infrastructure, the company leverages aggregated patient data to streamline and accelerate clinical trial design, site selection and participant matching to bring new therapies to market faster and more cost effectively.